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240202 ||| eng |
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|a 9783036591926
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|a books978-3-0365-9193-3
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|a 9783036591933
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| 100 |
1 |
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|a Tikhomirov, Alexander
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| 245 |
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|a Limit Theorems of Probability Theory
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (322 p.)
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| 653 |
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|a laws of large numbers
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| 653 |
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|a law of iterated logarithms
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| 653 |
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|a Research & information: general / bicssc
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| 653 |
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|a Mathematics & science / bicssc
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| 653 |
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|a sparse sample covariance matrices
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| 653 |
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|a Gaussian distribution
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| 653 |
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|a central limit theorem
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| 653 |
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|a point process
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| 653 |
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|a probabilities of large deviations
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| 653 |
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|a sums of random variables
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| 653 |
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|a functional limit theorem
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| 653 |
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|a probability theory
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| 653 |
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|a multivariate statistics
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| 653 |
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|a sequences of random variables
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| 653 |
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|a asymptotic expansions for symmetric statistics
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| 653 |
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|a measure concentration
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| 653 |
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|a random matrices
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| 653 |
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|a asymptotic normality
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| 653 |
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|a limit distributions of extremes
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| 653 |
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|a Poisson limit distribution
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| 700 |
1 |
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|a Ulyanov, Vladimir
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| 700 |
1 |
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|a Tikhomirov, Alexander
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| 700 |
1 |
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|a Ulyanov, Vladimir
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
5 |
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|a 10.3390/books978-3-0365-9193-3
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| 856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/8186
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/128722
|z DOAB: description of the publication
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|a 500
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|a 000
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|a 340
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|a The present reprint contains all of the articles accepted and published in the Special Issue titled "Limit Theorems of Probability Theory". The papers included in this Special Issue present new directions and advances for limit theorems in probability theory and its applications. The list of topics is extensive, and it includes classical models of sums of both independent and various types of dependent random variables; probabilities of large deviations; functional limit theorems and limit theorems for random processes, in high-dimensional spaces, for spectra of random matrices, and for random graphs, etc. We strongly believe that the selected topics and results will be attractive to and useful for the international scientific community, as well as contribute to further research into the subject of limit theorems in probability theory.
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